首页> 美国卫生研究院文献>Frontiers in Psychology >Individuality That is Unheard of: Systematic Temporal Deviations in Scale Playing Leave an Inaudible Pianistic Fingerprint
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Individuality That is Unheard of: Systematic Temporal Deviations in Scale Playing Leave an Inaudible Pianistic Fingerprint

机译:闻所未闻的个性:音阶演奏中的系统性时间偏差留下了听不清的钢琴演奏指纹

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摘要

Whatever we do, we do it in our own way, and we recognize master artists by small samples of their work. This study investigates individuality of temporal deviations in musical scales in pianists in the absence of deliberate expressive intention. Note-by-note timing deviations away from regularity form a remarkably consistent “pianistic fingerprint.” First, eight professional pianists played C-major scales in two sessions, separated by 15 min. Euclidian distances between deviation traces originating from different pianists were reliably larger than traces originating from the same pianist. As a result, a simple classifier that matched deviation traces by minimizing their distance was able to recognize each pianist with 100% accuracy. Furthermore, within each pianist, fingerprints produced by the same movements were more similar than fingerprints resulting in the same scale sound. This allowed us to conclude that the fingerprints are mostly neuromuscular rather than intentional or expressive in nature. However, human listeners were not able to distinguish the temporal fingerprints by ear. Next, 18 pianists played C-major scales on a normal or muted piano. Recognition rates ranged from 83 to 100%, further supporting the view that auditory feedback is not implicated in the creation of the temporal signature. Finally, 20 pianists were recognized 20 months later at above chance level, showing signature effects to be long lasting. Our results indicate that even non-expressive playing of scales reveals consistent, partially effector-unspecific, but inaudible inter-individual differences. We suggest that machine learning studies into individuality in performance will need to take into account unintentional but consistent variability below the perceptual threshold.
机译:无论我们做什么,我们都会以自己的方式做到这一点,并且我们会通过少量艺术家作品来表彰他们。这项研究调查了在没有刻意表达意图的情况下钢琴演奏者的音阶时间偏差的个性。逐个注释的定时偏离规律性会形成非常一致的“钢琴指纹”。首先,八位专业钢琴家在两节课中以C大调演奏,间隔15分钟。源自不同钢琴家的偏离轨迹之间的欧几里得距离可靠地大于源自同一钢琴家的轨迹。结果,一个简单的分类器通过最小化偏差轨迹的距离来匹配偏差轨迹,从而能够以100%的精度识别每个钢琴家。此外,在每个钢琴演奏家中,相同动作产生的指纹比产生相同音阶声音的指纹更相似。这使我们可以得出结论,指纹本质上主要是神经肌肉的,而不是故意的或表达的。但是,人类听众无法通过耳朵区分时间指纹。接下来,有18位钢琴家在普通或静音钢琴上演奏了C大调音阶。识别率从83%到100%不等,进一步支持了听觉反馈与时间签名的创建无关的观点。最终,在20个月后的机会级别以上认可了20位钢琴家,这表明签名效果是持久的。我们的结果表明,即使是非表现性的音阶演奏也显示出一致的,部分效应子非特异性的但个体间听不见的差异。我们建议,针对性能个性化的机器学习研究将需要考虑到低于感知阈值的无意但始终如一的可变性。

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